Web-based multi-observer segmentation evaluation tool

Yaoyao Zhu; Xiaolei Huang; Daniel Lopresti; Rodeny Long; Sameer Antani; Zhiyun Xue; George Thoma

doi:10.1109/CBMS.2008.121

Web-based multi-observer segmentation evaluation tool

Yaoyao Zhu, Xiaolei Huang, Daniel Lopresti, Rodeny Long, Sameer Antani, Zhiyun Xue, George Thoma

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

Multi-observer segmentation evaluation is useful in the imaging community. We have developed web-based software for automatic performance evaluation of multiple image segmentations which is based on the Baysian Decision framework. It computes a probabilistic estimate of the true segmentation ground truth map) and performance measures for the individual segmentations (sensitivity and specificity). The strength of the tool is that it integrates the two kinds of prior knowledge of segmentations: the truth prior (the prior probability) and the observer prior (the performance measures of observers), which can generate more accurate evaluations.

Original language	English (US)
Title of host publication	Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008
Pages	167-169
Number of pages	3
DOIs	https://doi.org/10.1109/CBMS.2008.121
State	Published - 2008
Event	21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008 - Jyvaskyla, Finland Duration: Jun 17 2008 → Jun 19 2008

Publication series

Name	Proceedings - IEEE Symposium on Computer-Based Medical Systems
ISSN (Print)	1063-7125

Conference

Conference	21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008
Country/Territory	Finland
City	Jyvaskyla
Period	6/17/08 → 6/19/08

All Science Journal Classification (ASJC) codes

Radiology Nuclear Medicine and imaging
Computer Science Applications

Access to Document

10.1109/CBMS.2008.121

Cite this

Zhu, Y., Huang, X., Lopresti, D., Long, R., Antani, S., Xue, Z., & Thoma, G. (2008). Web-based multi-observer segmentation evaluation tool. In Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008 (pp. 167-169). Article 4561979 (Proceedings - IEEE Symposium on Computer-Based Medical Systems). https://doi.org/10.1109/CBMS.2008.121

@inproceedings{17c47d50df854ecb8d99ff8bb2f116bd,

title = "Web-based multi-observer segmentation evaluation tool",

abstract = "Multi-observer segmentation evaluation is useful in the imaging community. We have developed web-based software for automatic performance evaluation of multiple image segmentations which is based on the Baysian Decision framework. It computes a probabilistic estimate of the true segmentation ground truth map) and performance measures for the individual segmentations (sensitivity and specificity). The strength of the tool is that it integrates the two kinds of prior knowledge of segmentations: the truth prior (the prior probability) and the observer prior (the performance measures of observers), which can generate more accurate evaluations.",

author = "Yaoyao Zhu and Xiaolei Huang and Daniel Lopresti and Rodeny Long and Sameer Antani and Zhiyun Xue and George Thoma",

year = "2008",

doi = "10.1109/CBMS.2008.121",

language = "English (US)",

isbn = "9780769531656",

series = "Proceedings - IEEE Symposium on Computer-Based Medical Systems",

pages = "167--169",

booktitle = "Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008",

note = "21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008 ; Conference date: 17-06-2008 Through 19-06-2008",

}

Zhu, Y, Huang, X, Lopresti, D, Long, R, Antani, S, Xue, Z & Thoma, G 2008, Web-based multi-observer segmentation evaluation tool. in Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008., 4561979, Proceedings - IEEE Symposium on Computer-Based Medical Systems, pp. 167-169, 21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008, Jyvaskyla, Finland, 6/17/08. https://doi.org/10.1109/CBMS.2008.121

Web-based multi-observer segmentation evaluation tool. / Zhu, Yaoyao; Huang, Xiaolei; Lopresti, Daniel et al.
Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008. 2008. p. 167-169 4561979 (Proceedings - IEEE Symposium on Computer-Based Medical Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Web-based multi-observer segmentation evaluation tool

AU - Zhu, Yaoyao

AU - Huang, Xiaolei

AU - Lopresti, Daniel

AU - Long, Rodeny

AU - Antani, Sameer

AU - Xue, Zhiyun

AU - Thoma, George

PY - 2008

Y1 - 2008

N2 - Multi-observer segmentation evaluation is useful in the imaging community. We have developed web-based software for automatic performance evaluation of multiple image segmentations which is based on the Baysian Decision framework. It computes a probabilistic estimate of the true segmentation ground truth map) and performance measures for the individual segmentations (sensitivity and specificity). The strength of the tool is that it integrates the two kinds of prior knowledge of segmentations: the truth prior (the prior probability) and the observer prior (the performance measures of observers), which can generate more accurate evaluations.

AB - Multi-observer segmentation evaluation is useful in the imaging community. We have developed web-based software for automatic performance evaluation of multiple image segmentations which is based on the Baysian Decision framework. It computes a probabilistic estimate of the true segmentation ground truth map) and performance measures for the individual segmentations (sensitivity and specificity). The strength of the tool is that it integrates the two kinds of prior knowledge of segmentations: the truth prior (the prior probability) and the observer prior (the performance measures of observers), which can generate more accurate evaluations.

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DO - 10.1109/CBMS.2008.121

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T3 - Proceedings - IEEE Symposium on Computer-Based Medical Systems

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EP - 169

BT - Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008

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Y2 - 17 June 2008 through 19 June 2008

ER -

Web-based multi-observer segmentation evaluation tool

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